DePaul University’s School of Computing invites applications for a tenure-track position in data science at the rank of assistant professor. The successful candidate will be part of one of the fastest growing and most highly recognized data science programs in the country. Refer to our website for more detail: http://www.cdm.depaul.edu/academics/Pages/MS-in-Predictive-Analytics.aspx

DePaul’s School of Computing is part of the College of Computing and Digital Media (CDM). It is located in the heart of Chicago's Loop, the central business district of Chicago and offers a variety of undergraduate and graduate programs including Computer Science, Software Engineering, Human Computer Interaction, Game Development, Information Security, and others.

Candidates for this position must have a PhD or equivalent. Applicants should be actively engaged in research and have teaching experience in data science, applied artificial intelligence (AI), machine learning, or computational statistics. We encourage candidates who are interested in opportunities for collaborative and interdisciplinary research. We have active and well-established research groups in areas such as biomedical informatics, recommender systems, data visualization, and web data mining. Additionally, our faculty has fostered research and pedagogical collaborations outside of the School of Computing, including in business, hospitality revenue management, computational finance, digital humanities and marketing. Rank and salary are commensurate with qualifications and experience.

Apply at https://facultyopportunities.depaul.edu/postings/1113. Include a CV, teaching statement, research statement, and three contacts for letters of recommendation. For priority consideration, application materials must be received by January 5, 2017. For questions please email depaulpa@cdm.depaul.edu.

DePaul University is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, religion, sex, sexual orientation, gender identity, national origin, age, marital status, physical or mental disability, protected veteran status, genetic information or any other legally protected status, in accordance with applicable federal, state and local EEO laws.